ABSTRACT
Virtual space can eliminate the physical constraints of real space. Three-dimensional (3D) digital twins enable us to experience manipulation of cultural assets that are inaccessible in real space. However, most 3D models obtained using current reconstruction techniques are static; they cannot be manipulated dynamically. In this study, we reproduce a dynamic 3D model of a simple articulated object with a rotating joint from a static point cloud only with reference to a video of the motion and a manually added rotation axis. The reconstructed actual cultural asset is used for first-person experiences in an augmented reality environment.
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- Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, and Shuran Song. 2020. Category-Level Articulated Object Pose Estimation. In Proc. CVPR 2020. 3703–3712.Google ScholarCross Ref
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- Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, and Leonidas Guibas. 2018. Deep Part Induction from Articulated Object Pairs. ACM Transactions on Graphics 37, 6, Article 209 (2018).Google ScholarDigital Library
Index Terms
- Virtual Manipulation of Cultural Assets: An Initial Case Study with Single-Joint Articulated Models
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